Golang developer

Essential functions

• Feature Design & Architecture: Own features end-to-end—from authoring technical specifications and system architecture to hands-on deployment and maintenance in production.

• Backend Systems Development: Design, write, and maintain production-quality backend software and microservices using Golang, Java, or Python, utilizing REST and gRPC for high-performance server-to-server communications.

• High-Scale Distributed Engineering: Build and optimize resilient, scalable services operating under strict high-availability, low-latency, and strong data consistency requirements.

• Data-Driven & Cross-Functional Collaboration: Partner directly with Product Managers, Solution Architects, and engineering peers to design, refine, and deliver robust data-driven risk management capabilities.

• Risk Management & Technical Visibility: Proactively track technical risks and system issues, reporting progress and status clearly to stakeholders.

• Mentorship & Process Ownership: Mentor junior engineers, drive CI/CD best practices, and contribute to maturing development standards and team-wide Agile engineering practices.

Qualifications

• Core Language Mastery: Expert proficiency in at least one major server-side language: Golang, Java, or Python.

• API Architecture: Hands-on experience developing and integrating server-to-server APIs using REST and gRPC.

• Distributed Systems Mechanics: Proven background building, scaling, and operating large-scale distributed systems characterized by high availability, low latency, and strong data consistency.

• CI/CD & Engineering Culture: Demonstrated CI/CD mindset with experience in automated testing, continuous integration, and modern deployment pipelines.

• Communication & Leadership: Strong written and verbal English communication skills, with a proven ability to explain complex technical topics clearly to diverse audiences.

Would be a plus

• Stream & In-Memory Computing: Hands-on experience with real-time stream processing and in-memory computing paradigms.

• Big Data Ecosystem: Exposure to Big Data processing frameworks and platforms such as Hadoop, Apache Spark, or MapReduce.

• Caching & High-Speed Data: Practical experience with Redis or other distributed caching layers for ultra-low latency data access.

• Financial & Risk Domain: Prior experience working on risk engines, fraud detection, or payment infrastructure in regulated financial environments.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.